Designing AI Harnesses: Principles and Practice
This article defines an "AI harness" as the software engineering framework—comprising model management, data integration, and verification layers—that wraps around a model to execu…
This article defines an "AI harness" as the software engineering framework—comprising model management, data integration, and verification layers—that wraps around a model to execu…
This article outlines a framework for transitioning voice AI from experimental demos to scalable enterprise production by focusing on strategic problem selection and audio-specific…
The article introduces the RePPIT framework, a structured methodology designed to move beyond "vibe coding" and achieve 2-3X faster production-quality development using AI. By foll…
This article summarizes a three-part series called “Evals for Everyone” focused on comprehensive AI evaluation. The series highlights the confusion around the term "evals" – often …
This article provides a practical guide for engineering leaders choosing an agentic AI framework, focusing on LangGraph, Spring AI, and Strands. It argues that while framework sele…